(INACTIVE/ONHOLD) Senior Data Engineer (GCP) | Onsite in Manila

Gratitude Philippines; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Gratitude Philippines is seeking a Senior Data Engineer to design, build, and optimize data pipelines on Google Cloud Platform (GCP). The role focuses on batch and real-time processing, ETL/ELT, and scalable data architectures.

You will work onsite in Manila/Taguig with shifting schedules and collaborate across teams to ensure data quality and performance. The ideal candidate has 2+ years in data engineering, strong SQL, Python/Java, and hands-on GCP experience including Dataflow, BigQuery, and

Qualifications

• Minimum 2 years of data engineering experience.
• Hands-on with GCP, especially Dataflow, Cloud Composer, BigQuery.
• Experience building batch and real-time pipelines.
• Advanced SQL with optimization skills.
• Proficiency in Python or Java.
• Experience with Beam, Airflow, and orchestration.
• Knowledge of ETL/ELT, data modeling, and data formats.

Responsibilities

• Design and maintain scalable data pipelines on GCP.
• Build batch and streaming data solutions with Dataflow and BigQuery.
• Develop ETL/ELT processes for data integration.
• Optimize complex SQL for performance.
• Implement streaming pipelines with Pub/Sub and Dataflow.
• Manage workflow orchestration using Airflow/Cloud Composer.
• Handle structured and semi-structured data (Avro, Parquet, JSON, CSV).
• Monitor pipelines, troubleshoot failures, and set up logging/alerts.
• Ensure data quality, security, and performance across systems.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

GCP Dataflow

Cloud Composer

BigQuery

SQL optimization

Python

Java

Apache Beam

Apache Airflow

ETL/ELT

Data modeling

Avro/Parquet/JSON/CSV

GCP Monitoring/Logging

Education

Bachelor's degree

Tools

Dataflow

Cloud Composer

BigQuery

Apache Airflow

Apache Beam

Job description

Senior Data Engineer - GCP (CL10)

Location: Manila / Taguig, PhilippinesWork Setup: OnsiteShift: Shifting ScheduleExperience: Minimum 2 YearsEmployment Type: Full-Time

Job Description

We are looking for a skilled Senior Data Engineer to design, develop, and optimize data solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience building scalable batch and real-time data pipelines, implementing ETL/ELT processes, optimizing SQL queries, and maintaining reliable data infrastructure.

The role involves developing robust data architectures, orchestrating complex workflows, ensuring data quality, and troubleshooting high-volume data processing systems.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Google Cloud Platform (GCP).

• Build and optimize batch and real-time data processing solutions using Dataflow, Cloud Composer, and BigQuery.

• Develop and maintain ETL/ELT processes for efficient data integration and migration across systems.

• Design and optimize complex SQL queries to improve data processing performance.

• Implement streaming data pipelines using Pub/Sub and Dataflow.

• Manage workflow orchestration and automation using Cloud Composer and Apache Airflow.

• Process structured and semi-structured data in formats such as Avro, Parquet, JSON, and CSV.

• Monitor data pipelines, troubleshoot failures, and implement logging and alerting mechanisms.

• Ensure data quality, reliability, security, and performance across the data ecosystem.

• Collaborate with cross-functional teams to deliver scalable data engineering solutions.

Required Qualifications & Skills

• Minimum of 2 years of relevant experience in data engineering.

• Strong hands-on experience with Google Cloud Platform (GCP), particularly Dataflow, Cloud Composer, and BigQuery.

• Experience developing batch and real-time streaming data pipelines.

• Advanced SQL skills, including query optimization and performance tuning.

• Proficiency in Python or Java.

• Experience with Apache Beam, Apache Airflow, and workflow orchestration.

• Strong understanding of data modeling and ETL/ELT processes.

• Experience processing Avro, Parquet, JSON, and CSV file formats.

• Knowledge of GCP Cloud Monitoring, Cloud Logging, debugging, and alerting.

• Strong analytical, troubleshooting, problem-solving, and communication skills.

Preferred Qualifications

• Google Cloud Certified Professional Data Engineer certification.

• Working knowledge of Google Cloud Spanner.

• Experience with CI/CD pipelines, Terraform, and GitHub Actions.

• Familiarity with GCP data governance and security practices, including IAM, KMS, and DLP.

Additional Requirements

• Must be currently residing in the Philippines and legally authorized to work in the country.

• Must be willing to work onsite in Manila / Taguig on a shifting schedule.

• Must not have an active or recent application with the hiring client.

• Must not be currently or recently employed by the hiring client.

Recruitment Process

1. Initial CV screening and qualification review.

2. Application validation and further CV screening.

3. Client review and evaluation.

Pre-Screening Questions

1. How many years of relevant experience do you have as a Data Engineer?

2. How many years of hands-on experience do you have with GCP, particularly Dataflow, Cloud Composer, and BigQuery?

3. What technical and soft skills do you possess that are relevant to this role?

4. What is your current or last drawn salary?

5. What is your expected salary?

6. Are you willing to work onsite in Manila / Taguig on a shifting schedule?

7. Do you have any active or recent application with the hiring client, or have you previously been employed by them?